百度地图

什么是百度地图？

百度地图是一个核心API服务，完全兼容MCP协议，使其成为中国第一个支持该协议的地图服务提供商。

如何使用百度地图？

要使用百度地图，您需要在百度地图开放平台上创建一个服务器端API密钥（AK），然后使用Python或TypeScript SDK集成该API。

百度地图的主要功能

提供8个核心API接口，包括地理编码、反向地理编码、地点搜索、路线规划和天气查询。
支持与兼容MCP协议的智能助手集成。

百度地图的使用案例

将地址转换为坐标（地理编码）。
检索兴趣点（POI）的详细信息。
规划驾驶、步行或公共交通的路线。
根据位置查询当前天气。

百度地图常见问题

什么是MCP协议？

MCP协议是一种将各种服务和工具以统一方式集成的标准。更多详细信息可以在官方MCP文档中找到。
使用百度地图API需要费用吗？

百度地图API的使用费用可能会有所不同；请查看百度地图开放平台以获取定价详情。
我该如何排查API问题？

您可以参考官方文档或社区论坛以获取故障排除提示。

</div> <br>

🚀 Introduction

Baidu Map MCP Server is a fully MCP-compliant, open-source Location-Based Service (LBS) solution, providing a comprehensive suite of geospatial APIs and tools for developers and AI agents. As the first map service provider in China to support the Model Context Protocol (MCP), Baidu Map MCP Server bridges the gap between large language models (LLMs), AI agents, and real-world location data and services.

With Baidu Map MCP Server, you can easily empower your applications, LLMs, and agents with advanced mapping, geocoding, POI search, route planning, weather, traffic, and more — all via standardized, developer-friendly MCP interfaces.

Key Features:

Full MCP Protocol Support: Seamless integration with any MCP-compliant agent, LLM, or platform.
Rich LBS Capabilities: Geocoding, reverse geocoding, POI search, route planning (driving, walking, cycling, transit), weather, IP location, real-time traffic, and more.
Cross-Platform SDKs: Official Python and TypeScript SDKs, easy CLI and cloud deployment.
Enterprise-Grade Data: Powered by Baidu Maps' authoritative, up-to-date geospatial data.
High Performance & Stability: Recommended SSE (Server-Sent Events) access for low latency and high reliability.
Open Source & Extensible: MIT licensed, easy to customize and extend.

Whether you are building a travel assistant, logistics platform, smart city solution, or an LLM-powered agent, Baidu Map MCP Server provides the essential geospatial intelligence and tools you need.

The MCP Server architecture enables:

Seamless AI Integration: Allows LLMs and agents to understand and process location data naturally
Contextual Understanding: Provides rich geospatial context for more intelligent decision-making
Standardized Interfaces: Consistent API design following MCP principles for easy integration
Scalable Implementation: Suitable for projects of any size, from small applications to enterprise solutions

Whether you're building a navigation app, delivery service, smart city solution, or enhancing an AI agent with location awareness, Baidu Map MCP Server provides the tools and infrastructure you need to succeed.

🛠️ Supported Tools & APIs

Baidu Map MCP Server provides the following MCP-compliant APIs (tools):

Tool Name	Description
`map_geocode`	Convert address to geographic coordinates.
`map_reverse_geocode`	Get address, region, and POI info from coordinates.
`map_search_places`	Search for POIs by keyword, type, region, or within a radius.
`map_place_details`	Get detailed info for a POI by its unique ID.
`map_directions_matrix`	Batch route planning for multiple origins/destinations (driving, walking, cycling).
`map_directions`	Plan routes between two points (driving, walking, cycling, transit).
`map_weather`	Query real-time and forecast weather by region or coordinates.
`map_ip_location`	Locate city and coordinates by IP address.
`map_road_traffic`	Query real-time traffic conditions for roads or regions.
`map_poi_extract`*	Extract POI info from free text (requires advanced permission).

*Some advanced features require additional permissions. See Authorization for details.

All APIs follow the MCP protocol and can be called from any MCP-compliant client, LLM, or agent platform.

⚡ Quick Start

1. Get Your API Key

Register and create a server-side API Key (AK) at Baidu Maps Open Platform. Be sure to enable “MCP (SSE)” service for best performance.

2. Python Integration

Install the SDK:

pip install mcp-server-baidu-maps

Run as a script:

python -m mcp_server_baidu_maps

Configure in your MCP client (e.g., Claude, Cursor):

{
  "mcpServers": {
    "baidu-maps": {
      "command": "python",
      "args": ["-m", "mcp_server_baidu_maps"],
      "env": {
        "BAIDU_MAPS_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

3. Node.js/TypeScript Integration

Install:

npm install @baidumap/mcp-server-baidu-map

Configure in your MCP client:

{
  "mcpServers": {
    "baidu-map": {
      "command": "npx",
      "args": [
        "-y",
        "@baidumap/mcp-server-baidu-map"
      ],
      "env": {
        "BAIDU_MAP_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

4. Recommended: Use SSE for low-latency, stable access

See SSE Quickstart.

5. More Platforms

Claude/Agent/千帆AppBuilder: See README_zh.md for detailed integration guides and advanced configuration.

🚀 Advanced Use Cases

Travel Planning Assistant:
Use map_search_places, map_directions, and map_weather to build an agent that plans optimal sightseeing routes, checks weather, and recommends POIs.
Batch Route Matrix:
Use map_directions_matrix to calculate multiple routes and durations for logistics or delivery optimization.
Text-to-POI Extraction:
Use map_poi_extract to extract POIs from user input or travel notes (requires advanced permission).
Real-time Traffic & Weather-aware Navigation:
Combine map_road_traffic and map_weather for dynamic, context-aware travel suggestions.
Integration with Claude, Qianfan, AppBuilder:
Seamlessly connect Baidu Map MCP Server to LLMs and agent frameworks for natural language geospatial reasoning.

See README_zh.md for more detailed Chinese documentation, configuration, and examples.

⛰️ Advanced Tutorials

👩‍👩‍👧‍👦 Contributors

概览